基于主成分回归分析的尿酸与相关影响因素研究

发布时间：2018-05-27 01:38

本文选题：尿酸 + 主成分回归分析　；参考：《中国卫生统计》2016年03期

【摘要】：目的利用主成分回归分析法探讨尿酸水平与体检和血生化指标的相关性。方法采用分层整群随机抽样方法,被调查者均接受问卷调查,测量身高、体重、血压、腰围(WC),检测尿酸(UA)、空腹血糖(FPG),血红蛋白(Hb)、甘油三脂(TC)、总胆固醇(TG)、高密度脂蛋白胆固醇(HDL-c),低密度脂蛋白胆固醇(LDL-c)。结果高尿酸组与尿酸正常组比较,各项指标差异有统计学意义(P0.01);主成分回归分析年龄、血红蛋白、空腹血糖、甘油三脂、BMI、腰围、收缩压与血尿酸值成正相关,HDL与血尿酸值成负相关。结论主成分回归分析能较好解决尿酸相关指标的多重共线性,尿酸与糖尿病、肥胖、高血压、血脂异常密切相关。
[Abstract]:Objective to study the correlation of uric acid level with physical examination and blood biochemical index by principal component regression analysis. Methods stratified cluster random sampling was used to measure height, weight and blood pressure. The levels of uric acid, fasting blood glucose, hemoglobin, triglyceride, total cholesterol, high density lipoprotein cholesterol, low density lipoprotein cholesterol and low density lipoprotein cholesterol were detected. Results compared with the normal group, there were significant differences in the indexes between the hyperuricemia group and the normal group (P 0.01), the age, hemoglobin, fasting blood glucose, triglyceride BMIs, waist circumference of the patients with hyperuricemia, hemoglobin, fasting blood glucose, triglyceride BMI. Systolic blood pressure was positively correlated with serum uric acid. HDL was negatively correlated with serum uric acid. Conclusion Principal component regression analysis can solve the multiple linear correlation between uric acid and diabetes mellitus, obesity, hypertension and dyslipidemia.
【作者单位】：广西壮族自治区疾病预防控制中心;
【基金】：广西壮族自治区疾病预防控制中心青年基金资助项目(201306)
【分类号】：R446.1

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